CN109902828A - Emergency event Emergency decision knowledge data model building method based on multi-level knowledge units - Google Patents
Emergency event Emergency decision knowledge data model building method based on multi-level knowledge units Download PDFInfo
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Abstract
The present invention relates to the emergency event Emergency decision knowledge data model building method based on multi-level knowledge units, solves there is no the defect for carrying out confluence analysis to mass data using semantic analysis technology compared with prior art.The present invention comprises steps of determining that the structure type of emergency event Emergency decision blocks of knowledge；Define knowledge units module；Construct the multi-level knowledge units data model of emergency event Emergency decision knowledge.The present invention forms the corresponding relationship of knowledge node and data subclass using semantic analysis technology, supports the multi-information fusions such as data, rule, model, method；It is able to carry out fast and efficiently information management, including can be carried out effectively the consistency checks such as knowledge redundancy, contradiction, circulation, the incidence relation and correlation degree between knowledge are reflected with layer structure.
Description
Technical field
The present invention relates to data semantic analysis technical fields, and specifically the emergency event based on multi-level knowledge units is answered
Anxious DECISION KNOWLEDGE data model construction method.
Background technique
At present in emergency event decision support system for emergency response, the decision information of accumulation be typically all with traditional database,
The structurings such as file system and non-structured data mode indicate, lack semantic information, are difficult to support policymaker in the short time
The interior DECISION KNOWLEDGE for obtaining semantic level, to limit the promotion of emergency event Emergency decision Yu commander's level.Due to emergency
The complexity and time variation of disaster relief knowledge are related to sea especially for the research of the complicated self-adapting decision problem of emergency disaster relief
The mass datas such as resource, economy, the meteorology of amount involve a large amount of quantitative calculation, qualitative reasoning rule, case etc. and examine
Consider, using the basic thought of object_ oriented knowl- edge representation method, can preferably carry out Data Integration analysis.
Therefore, how semantic analysis technology is utilized, designs a kind of knowledge data applied to emergency event Emergency decision
Model has become technical problem urgently to be solved.
Summary of the invention
It is whole to mass data progress using semantic analysis technology the purpose of the present invention is to solve there is no in the prior art
The defect for closing analysis, provides the emergency event Emergency decision knowledge data model building method based on multi-level knowledge units to solve
The above problem.
To achieve the goals above, technical scheme is as follows:
Emergency event Emergency decision knowledge data model building method based on multi-level knowledge units, which is characterized in that packet
Include following steps:
Determine the structure type of emergency event Emergency decision blocks of knowledge；
It defines knowledge units module: defining seven knowledge units modules respectively, be respectively rule knowledge unit module, mould
Type knowledge units module, ontology knowledge unit module, description knowledge units module, external component knowledge units module, frame are known
Know unit module and control knowledge units module；
Construct the multi-level knowledge units data model of emergency event Emergency decision knowledge.
The structure type of the determining emergency event Emergency decision blocks of knowledge the following steps are included:
Define emergency event Emergency decision blocks of knowledge, using element identifier (element ID) ID, data structure DS, method set MS and
Message interface MI forms four-tuple, quadruple notation are as follows:=<ID, DS, MS, MI>；
Set each attribute value of four-tuple:
Element identifier (element ID) ID is unit title, for identifying a specific emergency event Emergency decision blocks of knowledge；
Data structure DS is for describing emergency event Emergency decision blocks of knowledge current internal state or possessed quiet
State attribute, with one group<attribute-name, attribute value>expression,
The method set MS of unit for illustrating inter-process method possessed by emergency event Emergency decision blocks of knowledge,
Or the operating process to Accept message, it is defined by unit statement sequence, reflection emergency event Emergency decision blocks of knowledge is certainly
The intelligent behavior of body；
Message interface MI is that unit receives external information and drives unique external interface of internal model and method.
The definition knowledge units module the following steps are included:
Definition rule knowledge units module is used for the qualitative analysis of model comprising part of, kind of, instance
Tetra- of, attribute of fundamental types；
Definition Model knowledge units module is for realizing the regular former piece fact item of foundation in inductive decision and conclusion fact item
Between Extended chaotic map relationship；
Define ontology knowledge unit module, the Ontology Modeling for DECISION KNOWLEDGE；
Definition description knowledge units module, description knowledge units module is for descriptive knowledge expression and the knowledge and its
The fusion of its knowledge comprising: text knowledge, Multimedia Knowledge and hypermedia knowledge；
Define external component knowledge units module comprising dynamic link libraries (* .DLL), external executable (*
) and a variety of external components (* .OCX) .EXE；
Definition frame knowledge units module, framework knowledge unit module in complication system " system is comprehensive " with system for dividing
It solves corresponding relevant knowledge to decompose, is the description and expression of the domain knowledge logical partitioning in knowledge base, while realizing that complexity is known
Know the guidance of reasoning, is a frame definition statement sequence inside unit；
Definition control knowledge units module controls knowledge units module for realizing " Knowledge Aggregation " of complication system, leads to
Unit module sentence is crossed to rules unit module, model unit module, description unit module and external component unit module
Higher level-one complicated knowledge module is realized in tissue, management, is the one of the incidence relation between knowledge units module and institutional framework
Kind description, and complete qualitative reasoning and quantitative calculating combination.
It is described building emergency event Emergency decision knowledge multi-level knowledge units data model the following steps are included:
It is a five-tuple by multi-level knowledge units data model definitions, expression formula is as follows:
Mk_DomainOntology:=< MK_Concepts, MK_Relations, MK_Functions, MK_Axio
Ms, MK_Instances >,
Wherein, MK_Concepts indicates mitigation disaster relief domain entities concept set, and MK_Relations indicates two entities
The relationship of the concepts set, MK_Functions indicate predicate function set, and MK_Axioms indicates empirical rule set, MK_
Instances indicates example collection；
Mitigation disaster relief domain entities concept set MK_Concepts is defined, expression formula is as follows:
MK_Concepts:={ C },
C is domain knowledge concept,
MK_Concepts key concept is divided into 5 major class, respectively calamity source decision, calamity emergency response, disaster is answered
First aid helps, disaster relief supplies Optimized Operation and post-disaster rescue and restoration and reconstruction；
Set of relationship between two entitative concepts is defined,
By MK_Relations is defined as:
MK_Relations=R (c1, c2) | c1, c2 ∈ MK_Concepts },
For indicating that the set of conceptual entity binary crelation, the core condition that conceptual entity includes are as follows:
Kind-of relationship, express concept between inheritance, indicate concept between comprising with by inclusion relation；
Part-of relationship indicates part and whole relationship between concept, i.e., the things of sub- conceptual description is father's concept
A part of the things of description；
Attribute-of relationship indicates that some concept is the attribute of another concept；
Same-as relationship indicates synonymy；
Predicate function set is defined, expression formula is as follows:
MK_Functions:=A:T × S1 × S2 × ... × Sn → S, S1, S2 ..., Sn ∈ MK_Concepts, S ∈
MK_Concepts },
N elements Si can uniquely determine S under the conditions of T before showing；
Empirical rule set is defined, expression formula is as follows:
MK_Rules:=A:T × S1 × S2 × ... × Sn → T × P1 × P2 × ... × Pn, S1, S2 ..., Sn ∈ MK_
Concep, P1 × P2 × ... × Pn, ∈ MK_Concepts },
N elements Si can determine Pi under the conditions of T before indicating；
Definitions example set, expression formula are as follows:
MK_Instances:=Instance | Instance ∈ EC_Concepts OR EC_Relations },
Show the element of concept.
The definition mitigation disaster relief domain entities concept set includes setting domain knowledge concept attribute comprising following step
It is rapid:
Setting calamity source decision classification: calamity source decision classification cover calamity source region occur disaster possibility with
And the preparedness demand analysis related notion in terms of manpower/material resources and financial resources, be divided into casualty loss comment in advance, preparedness capability analysis, area
4 the disaster-stricken intensive analysis in domain, preparedness demand analysis subclasses；
Setting calamity emergency responds classification: calamity emergency response classification covers emergency response starting rank for starting and estimates
The condition of a disaster trend analysis related notion is counted, the judgement of the condition of a disaster degree, responding ability analysis, the disaster-stricken intensity in region point in calamity are divided into
Analysis, response rank judgement, the condition of a disaster Trend judgement, responsive measures and 7 subclasses of startup program；
Setting calamity emergency succours classification: calamity emergency relief classification cover automatic rescue human and material resources during the disaster relief,
The concept of financial resources demand feasible region, is divided into that the condition of a disaster information, responding ability analysis, secondary disaster analysis, region are disaster-stricken strong in calamity
Degree analysis and relief 4 subclasses of demand analysis；
Set disaster relief resource Optimized Operation classification: disaster relief resource Optimized Operation classification covers devastated and its closes on range
Different supply of goods and materials for disaster relief quantitative ranges, urgent purchase quantity range and transport quantitative range analyze concept, and being divided into relief needs
Analysis and the distribution of materials is asked to analyze two groups；
Setting post-disaster rescue and restoration and reconstruction classification: post-disaster rescue people is covered in post-disaster rescue and the reconstruction of restoration and reconstruction classification
Power, material resources, financial resources demand feasible region analyze concept, are divided into 2 sons of restoration and reconstruction capability analysis and restoration and reconstruction demand analysis
Class.
Beneficial effect
Emergency event Emergency decision knowledge data model building method based on multi-level knowledge units of the invention, and it is existing
Technology compare using semantic analysis technology formed knowledge node and data subclass corresponding relationship, support data, rule, model,
The multi-information fusions such as method；Be able to carry out fast and efficiently information management, including can be carried out effectively knowledge redundancy, contradiction,
The consistency checks such as circulation, the incidence relation and correlation degree between knowledge are reflected with layer structure.
Detailed description of the invention
Fig. 1 is method precedence diagram of the invention.
Specific embodiment
The effect of to make to structure feature of the invention and being reached, has a better understanding and awareness, to preferable
Examples and drawings cooperation detailed description, is described as follows:
As shown in Figure 1, the emergency event Emergency decision knowledge data model of the present invention based on multi-level knowledge units
Construction method, comprising the following steps:
The first step determines the structure type of emergency event Emergency decision blocks of knowledge, is built by blocks of knowledge statement sequence
The mapping relations of vertical known true item and target fact item.The specific steps of which are as follows:
(1) emergency event Emergency decision blocks of knowledge is defined, element identifier (element ID) ID, data structure DS, method set are utilized
MS and message interface MI forms four-tuple, quadruple notation are as follows:=<ID, DS, MS, MI>.
(2) each attribute value of four-tuple is set:
Element identifier (element ID) ID is unit title, for identifying a specific emergency event Emergency decision blocks of knowledge；
Data structure DS is for describing emergency event Emergency decision blocks of knowledge current internal state or possessed quiet
State attribute, with one group<attribute-name, attribute value>expression；
The method set MS of unit for illustrating inter-process method possessed by emergency event Emergency decision blocks of knowledge,
Or the operating process to Accept message, it is defined by unit statement sequence, reflection emergency event Emergency decision blocks of knowledge is certainly
The intelligent behavior of body；
Message interface MI is that unit receives external information and drives unique external interface of internal model and method.
Second step defines knowledge units module: defining seven knowledge units modules respectively, is respectively rule knowledge unit
Module, model knowledge units module, ontology knowledge unit module, description knowledge units module, external component knowledge units module,
Framework knowledge unit module and control knowledge units module.The specific steps of which are as follows:
(1) definition rule knowledge units module be used for model qualitative analysis comprising part of, kind of,
Tetra- instance of, attribute of fundamental types.
(2) Definition Model knowledge units module is true for realizing the regular former piece fact item of foundation in inductive decision and conclusion
Extended chaotic map relationship between.
(3) ontology knowledge unit module, the Ontology Modeling for DECISION KNOWLEDGE are defined.Classified using art methods
Method tissue Ontology, and summarize 5 basic modeling member languages: concept (concepts), relationship (relations), function
(functions), axiom (axioms) and example (instances).
(4) definition description knowledge units module, description knowledge units module is indicated for descriptive knowledge and the knowledge
With merging for other knowledge comprising: text knowledge, Multimedia Knowledge and hypermedia knowledge.
(5) external component knowledge units module is defined comprising dynamic link libraries (* .DLL), external executable (*
) and a variety of external components (* .OCX) .EXE.
(6) definition frame knowledge units module, framework knowledge unit module are used in complication system " system is comprehensive " and are
System decomposes corresponding relevant knowledge and decomposes, and is the description and expression of the domain knowledge logical partitioning in knowledge base, while realizing multiple
The guidance of miscellaneous knowledge reasoning is a frame definition statement sequence inside unit.
(7) definition control knowledge units module, control knowledge units module for realizing complication system " Knowledge Aggregation ",
By unit module sentence to rules unit module, model unit module, description unit module and external component unit module
Tissue, higher level-one complicated knowledge module is realized in management, be the incidence relation and institutional framework between knowledge units module
A kind of description, and complete qualitative reasoning and quantitative calculating combination.
Third step constructs the multi-level knowledge units data model of emergency event Emergency decision knowledge.The specific steps of which are as follows:
(1) it is a five-tuple by multi-level knowledge units data model definitions, expression formula is as follows:
Mk_DomainOntology:=< MK_Concepts, MK_Relations, MK_Functions, MK_Axio
Ms, MK_Instances >,
Wherein, MK_Concepts indicates mitigation disaster relief domain entities concept set, and MK_Relations indicates two entities
The relationship of the concepts set, MK_Functions indicate predicate function set, and MK_Axioms indicates empirical rule set, MK_
Instances indicates example collection.
(2) mitigation disaster relief domain entities concept set MK_Concepts is defined, expression formula is as follows:
MK_Concepts:={ C },
C is domain knowledge concept,
MK_Concepts key concept is divided into 5 major class, respectively calamity source decision, calamity emergency response, disaster is answered
First aid helps, disaster relief supplies Optimized Operation and post-disaster rescue and restoration and reconstruction.
Calamity source decision classification covers calamity source region and disaster possibility and manpower/material resources and financial resources aspect occurs
Preparedness demand analysis related notion, be divided into casualty loss comment in advance, preparedness capability analysis, the disaster-stricken intensive analysis in region, preparedness need
Seek 4 subclasses of analysis；
Calamity emergency response classification covers emergency response starting rank and estimation the condition of a disaster trend analysis phase for starting
Concept is closed, is divided into that the judgement of the condition of a disaster degree, responding ability analysis in calamity, the disaster-stricken intensive analysis in region, response rank judges, the condition of a disaster becomes
7 gesture judgement, responsive measures and startup program subclasses；
Calamity emergency relief classification cover automatic rescue human and material resources during the disaster relief, financial resources demand feasible region it is general
It reads, is divided into the condition of a disaster information, responding ability analysis, secondary disaster analysis, the disaster-stricken intensive analysis in region and relief demand analysis 4 in calamity
A subclass；
Disaster relief resource Optimized Operation classification cover devastated and its close on range difference supply of goods and materials for disaster relief quantitative range,
Urgent purchase quantity range and transport quantitative range analyze concept, are divided into relief demand analysis and distribution of materials analysis two is small
Class；
Post-disaster rescue human and material resources are covered in post-disaster rescue and the reconstruction of restoration and reconstruction classification, financial resources demand feasible region is analyzed
Concept is divided into 2 subclasses of restoration and reconstruction capability analysis and restoration and reconstruction demand analysis.
(3) set of relationship between two entitative concepts of definition,
By MK_Relations is defined as:
MK_Relations=R (c1, c2) | c1, c2 ∈ MK_Concepts },
For indicating that the set of conceptual entity binary crelation, the core condition that conceptual entity includes are as follows:
Kind-of relationship, express concept between inheritance, indicate concept between comprising with by inclusion relation；
Part-of relationship indicates part and whole relationship between concept, i.e., the things of sub- conceptual description is father's concept
A part of the things of description；
Attribute-of relationship indicates that some concept is the attribute of another concept；
Same-as relationship indicates synonymy.
(4) predicate function set is defined, expression formula is as follows:
MK_Functions:=A:T × S1 × S2 × ... × Sn → S, S1, S2 ..., Sn ∈ MK_Concepts, S ∈
MK_Concepts },
N elements Si can uniquely determine S under the conditions of T before showing.
(5) empirical rule set is defined, expression formula is as follows:
MK_Rules:=A:T × S1 × S2 × ... × Sn → T × P1 × P2 × ... × Pn, S1, S2 ..., Sn ∈ MK_
Concep, P1 × P2 × ... × Pn, ∈ MK_Concepts },
N elements Si can determine Pi under the conditions of T before indicating.
(6) definitions example set, expression formula are as follows:
MK_Instances:=Instance | Instance ∈ EC_Concepts OR EC_Relations },
Show the element of concept.
The present invention is made up of the whole decision knowledge model of emergency event emergency multi-level knowledge units mode, only by following
The basic units such as ring, control, description, assignment model the Extended chaotic map relationship that sentence establishes known true item and target fact item,
And without calling other unit modes, the blocks of knowledge pattern definition established is basic knowledge unit mode；By basic
Modelon Modeling sentence combines the higher level-one blocks of knowledge mode that existing basic knowledge unit mode is established simultaneously and knows for second level
Know super meta schema, equally, the super meta schema of knowledge for being combined with the super meta schema of second level is just defined as the super meta schema of three-level, successively class
It pushes away, the whole knowledge model to be formed and be made of multi-level knowledge units mode is provided for entire knowledge base.
The basic principles, main features and advantages of the present invention have been shown and described above.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and what is described in the above embodiment and the description is only the present invention
Principle, various changes and improvements may be made to the invention without departing from the spirit and scope of the present invention, these variation and
Improvement is both fallen in the range of claimed invention.The present invention claims protection scope by appended claims and its
Equivalent defines.
Claims (5)
1. a kind of emergency event Emergency decision knowledge data model building method based on multi-level knowledge units, which is characterized in that
The following steps are included:
11) structure type of emergency event Emergency decision blocks of knowledge is determined；
12) it defines knowledge units module: defining seven knowledge units modules respectively, be respectively rule knowledge unit module, mould
Type knowledge units module, ontology knowledge unit module, description knowledge units module, external component knowledge units module, frame are known
Know unit module and control knowledge units module；
13) the multi-level knowledge units data model of emergency event Emergency decision knowledge is constructed.
2. the emergency event Emergency decision knowledge data model construction side according to claim 1 based on multi-level knowledge units
Method, which is characterized in that the structure type of the determining emergency event Emergency decision blocks of knowledge the following steps are included:
21) define emergency event Emergency decision blocks of knowledge, using element identifier (element ID) ID, data structure DS, method set MS and
Message interface MI forms four-tuple, quadruple notation are as follows:=<ID, DS, MS, MI>；
22) each attribute value of four-tuple is set:
Element identifier (element ID) ID is unit title, for identifying a specific emergency event Emergency decision blocks of knowledge；
Data structure DS is for describing the current internal state of emergency event Emergency decision blocks of knowledge or possessed static category
Property, with one group<attribute-name, attribute value>expression,
The method set MS of unit is for illustrating inter-process method or right possessed by emergency event Emergency decision blocks of knowledge
The operating process of Accept message is defined by unit statement sequence, reflection emergency event Emergency decision blocks of knowledge itself
Intelligent behavior；
Message interface MI is that unit receives external information and drives unique external interface of internal model and method.
3. the emergency event Emergency decision knowledge data model construction side according to claim 1 based on multi-level knowledge units
Method, which is characterized in that the definition knowledge units module the following steps are included:
31) definition rule knowledge units module is used for the qualitative analysis of model comprising part of, kind of, instance
Tetra- of, attribute of fundamental types；
32) Definition Model knowledge units module for realizing established in inductive decision regular former piece fact item and conclusion fact item it
Between Extended chaotic map relationship；
33) ontology knowledge unit module, the Ontology Modeling for DECISION KNOWLEDGE are defined；
34) definition description knowledge units module, description knowledge units module is for descriptive knowledge expression and the knowledge and its
The fusion of its knowledge comprising: text knowledge, Multimedia Knowledge and hypermedia knowledge；
35) external component knowledge units module is defined comprising dynamic link libraries (* .DLL), external executable (* .EXE)
With a variety of external components (* .OCX)；
36) definition frame knowledge units module, framework knowledge unit module in complication system " system is comprehensive " with system for dividing
It solves corresponding relevant knowledge to decompose, is the description and expression of the domain knowledge logical partitioning in knowledge base, while realizing that complexity is known
Know the guidance of reasoning, is a frame definition statement sequence inside unit；
37) definition control knowledge units module controls knowledge units module for realizing " Knowledge Aggregation " of complication system, passes through
Unit module sentence is to rules unit module, model unit module, the group of description unit module and external component unit module
It knits, manage and realize higher level-one complicated knowledge module, be one kind of the incidence relation between knowledge units module and institutional framework
Description, and complete qualitative reasoning and quantitative calculating combination.
4. the emergency event Emergency decision knowledge data model construction side according to claim 1 based on multi-level knowledge units
Method, which is characterized in that it is described building emergency event Emergency decision knowledge multi-level knowledge units data model the following steps are included:
41) it is a five-tuple by multi-level knowledge units data model definitions, expression formula is as follows:
Mk_DomainOntology:=< MK_Concepts, MK_Relations, MK_Functions, MK_Axiom s, MK_
Instances >,
Wherein, MK_Concepts indicates mitigation disaster relief domain entities concept set, and MK_Relations indicates two entitative concepts
Between set of relationship, MK_Functions indicate predicate function set, MK_Axioms indicate empirical rule set, MK_
Instances indicates example collection；
42) mitigation disaster relief domain entities concept set MK_Concepts is defined, expression formula is as follows:
MK_Concepts:={ C },
C is domain knowledge concept,
MK_Concepts key concept is divided into 5 major class, respectively calamity source decision, calamity emergency response, calamity emergency is rescued
It helps, disaster relief supplies Optimized Operation and post-disaster rescue and restoration and reconstruction；
43) set of relationship between two entitative concepts of definition,
By MK_Relations is defined as:
MK_Relations=R (c1, c2) | c1, c2 ∈ MK_Concepts },
For indicating that the set of conceptual entity binary crelation, the core condition that conceptual entity includes are as follows:
Kind-of relationship, express concept between inheritance, indicate concept between comprising with by inclusion relation；
Part-of relationship indicates part and whole relationship between concept, i.e., the things of sub- conceptual description is father's conceptual description
Things a part；
Attribute-of relationship indicates that some concept is the attribute of another concept；
Same-as relationship indicates synonymy；
44) predicate function set is defined, expression formula is as follows:
MK_Functions:=A:T × S1 × S2 × ... × Sn → S, S1, S2 ..., Sn ∈ MK_Concepts, S ∈ MK_
Concepts },
N elements Si can uniquely determine S under the conditions of T before showing；
45) empirical rule set is defined, expression formula is as follows:
MK_Rules:=A:T × S1 × S2 × ... × Sn → T × P1 × P2 × ... × Pn, S1, S2 ..., Sn ∈ MK_
Concep, P1 × P2 × ... × Pn, ∈ MK_Concepts },
N elements Si can determine Pi under the conditions of T before indicating；
46) definitions example set, expression formula are as follows:
MK_Instances:=Instance | Instance ∈ EC_Concepts OR EC_Relations },
Show the element of concept.
5. the emergency event Emergency decision knowledge data model construction side according to claim 4 based on multi-level knowledge units
Method, which is characterized in that the definition mitigation disaster relief domain entities concept set includes setting domain knowledge concept attribute comprising
Following steps:
51) set calamity source decision classification: calamity source decision classification cover calamity source region occur disaster possibility with
And the preparedness demand analysis related notion in terms of manpower/material resources and financial resources, be divided into casualty loss comment in advance, preparedness capability analysis, area
4 the disaster-stricken intensive analysis in domain, preparedness demand analysis subclasses；
52) setting calamity emergency responds classification: calamity emergency response classification covers emergency response starting rank for starting and estimates
The condition of a disaster trend analysis related notion is counted, the judgement of the condition of a disaster degree, responding ability analysis, the disaster-stricken intensity in region point in calamity are divided into
Analysis, response rank judgement, the condition of a disaster Trend judgement, responsive measures and 7 subclasses of startup program；
53) setting calamity emergency succours classification: calamity emergency relief classification cover automatic rescue human and material resources during the disaster relief,
The concept of financial resources demand feasible region, is divided into that the condition of a disaster information, responding ability analysis, secondary disaster analysis, region are disaster-stricken strong in calamity
Degree analysis and relief 4 subclasses of demand analysis；
54) set disaster relief resource Optimized Operation classification: disaster relief resource Optimized Operation classification covers devastated and its closes on range
Different supply of goods and materials for disaster relief quantitative ranges, urgent purchase quantity range and transport quantitative range analyze concept, and being divided into relief needs
Analysis and the distribution of materials is asked to analyze two groups；
55) setting post-disaster rescue and restoration and reconstruction classification: post-disaster rescue and the reconstruction of restoration and reconstruction classification cover post-disaster rescue manpower,
Material resources, financial resources demand feasible region analyze concept, are divided into 2 subclasses of restoration and reconstruction capability analysis and restoration and reconstruction demand analysis.
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| CN111563169A (en) * | 2020-04-03 | 2020-08-21 | 常州大学 | Emergency call and response method and system |
| CN111563169B (en) * | 2020-04-03 | 2023-04-28 | 常州大学 | Emergency call and response method and system |
| CN111914100A (en) * | 2020-08-11 | 2020-11-10 | 中科院合肥技术创新工程院 | Emergency decision knowledge representation method based on ontology |
| CN115630374A (en) * | 2022-12-22 | 2023-01-20 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Testing method and device of credible numerical control system, computer equipment and storage medium |
| CN115630374B (en) * | 2022-12-22 | 2023-04-14 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Testing method and device of credible numerical control system, computer equipment and storage medium |
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